E-Cigarette Characteristics and Cigarette Cessation Among Adults Who Use E-Cigarettes

This cohort study uses data from the Population Assessment of Tobacco and Health (PATH) Study to investigate the association of e-cigarette characteristics with cigarette cessation behaviors among adults who use e-cigarettes.

GEE logistic regression analyses were used to assess associations between e-cigarette characteristics and making a cigarette quit attempt using four wave pairs (i.e., W2-W3, W3-W4, W4-W5, W5-W6), including up to four change data points per individual and statistically controlling for the correlation among observations from the same individuals.
1 Model 1 adjusts for sex, race, ethnicity, age, cigarettes smoked per day, menthol/nonmenthol cigarette smoking, interview mode, e-cigarette device type (except when evaluating the main effect of e-cigarette device type used), e-cigarette flavor(s) (except when evaluating the main effect of ecigarette flavor(s) used), and year of data collection (except when evaluating the main effect of year of data collection).eTable 3: Cigarette cessation at follow-up among adults (ages 21+) who smoked cigarettes daily at baseline, used e-cigarettes in the past 30 days at follow-up, and made a cigarette quit attempt between baseline and follow-up, as a function of e-cigarette characteristics.
Population: Adults who smoked cigarettes daily at baseline, used e-cigarettes in past 30 days at follow-up, and made a cigarette quit attempt between baseline and follow-up Cigarette cessation at follow-up (i.e., Daily smoking at baseline, made a quit attempt between baseline and follow-up → No daily/nondaily smoking at follow-up) Ns indicate unweighted numbers of observations; percentages, Adjusted Odds Ratios (AOR) and 95% Confidence Intervals (CIs) are weighted using the Wave 6 all-waves weights for the Wave 1 cohort.GEE logistic regression analyses were used to assess associations between e-cigarette use characteristics and cigarette cessation among those who made a quit attempt using four wave pairs (i.e., W2-W3, W3-W4, W4-W5, W5-W6), including up to four change data points per individual and statistically controlling for the correlation among observations from the same individuals.
1 Model 1 adjusts for sex, race, ethnicity, age, cigarettes smoked per day, menthol/nonmenthol cigarette smoking, interview mode, e-cigarette device type (except when evaluating the main effect of e-cigarette device type used), e-cigarette flavor(s) (except when evaluating the main effect of ecigarette flavor(s) used), and year of data collection (except when evaluating the main effect of year of data collection).eTable 4: Discontinuing past 30-day cigarette smoking at follow-up among adults (ages 21+) who smoked cigarettes daily at baseline and used ecigarettes in the past 30 days at follow-up, as a function of e-cigarette characteristics.
Population: Adults who smoked cigarettes daily at baseline and used ecigarettes in the past 30 days at follow-up Discontinue cigarette smoking at follow-up (i.e., Daily smoking at baseline → No past 30-day smoking at follow-up) GEE logistic regression analyses were used to assess associations between e-cigarette use characteristics and discontinuing cigarette smoking using four wave pairs (i.e., W2-W3, W3-W4, W4-W5, W5-W6), including up to four change data points per individual and statistically controlling for the correlation among observations from the same individuals.
1 Model 1 adjusts for sex, race, ethnicity, age, cigarettes smoked per day, menthol/nonmenthol cigarette smoking, interview mode, e-cigarette device type (except when evaluating the main effect of e-cigarette device type used), e-cigarette flavor(s) (except when evaluating the main effect of e-cigarette flavor(s) used), and year of data collection (except when evaluating the main effect of year of data collection).

2
Model 2 adjusts for the same covariates as in Model 1 plus e-cigarette use frequency (except when evaluating the main effect of e-cigarette use frequency).*p<0.05;**p<.01;***p<.001© 2024 Kasza KA et al.JAMA Network Open.

2
Model 2 adjusts for the same covariates as in Model 1 plus e-cigarette use frequency (except when evaluating the main effect of e-cigarette use frequency).*p<0.05;**p<.01;***p<.001© 2024 Kasza KA et al.JAMA Network Open.

2
Model 2 adjusts for the same covariates as in Model 1 plus e-cigarette use frequency (except when evaluating the main effect of e-cigarette use frequency).*p<0.05;**p<.01;***p<.001